eval_test_GPT
Released by haninmb in 2026, eval_test_GPT is an chat model. eval_test_GPT is an open-weights chat model.
by haninmb
Best for
Ways to use eval_test_GPT in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your haninmb API key. osFoundry discovers eval_test_GPT automatically — assign it to a Maestro role (router, direct, orchestrator, or fallback) in the Pipeline tab and it is live in every chat. Your key, your provider account — no token markup.
Deploy a dedicated endpoint
eval_test_GPT is open-weights — run it locally for free, or deploy a dedicated GPU endpoint in your workspace for reserved capacity with no rate limits.
Use it in a Room App
Room Apps declare AI features in their manifest, then call them with invokeAI:
import { invokeAI } from '@osfoundry/app-sdk'
// 'summarize' is an AI feature declared in your app manifest.
const result = await invokeAI('summarize', userText)
Call it from your own apps
Once a model is wired into your workspace you can host it as an API and reach it from your own services, scripts, or CI — outside osFoundry.
eval_test_GPT vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about eval_test_GPT
Is eval_test_GPT free to use?
eval_test_GPT is free to run locally on your own hardware. Hosted access through osFoundry is metered (input Free (local), output Free (local)). You can switch between local and hosted at any time.
Can I use eval_test_GPT commercially?
Commercial use is allowed with conditions. Licence terms not specified — verify the upstream model card before commercial use. Check upstream documentation.
Can I run eval_test_GPT locally?
Yes. eval_test_GPT is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is eval_test_GPT best at?
eval_test_GPT is well-suited to text generation.
How do I use eval_test_GPT in osFoundry?
Paste your haninmb API key in the key dialog (or deploy the open weights for self-hostable models), assign eval_test_GPT to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by haninmb on April 17, 2026. Source: https://huggingface.co/haninmb/eval_test_GPT